Technical analyses and simulations demonstrating how mathematical algorithms represent complex physical and biological systems.
From the interior of the Earth to the surfaces of distant stars, computational models serve as the essential, if imperfect, lens through which we view the inaccessible.
Across disciplines, the art of computational modeling lies in knowing exactly which details to discard to make the truth visible.
From the turbulent wakes of wind farms to the violent disruption of stars, computational models serve as the essential, if imperfect, bridge between theory and the physical world.
Across fields from geophysics to cosmology, computational models are evolving to handle the tension between physical complexity and the limits of processing power.
From the formation of early galaxies to the toxicity of environmental pollutants, computational models are reshaping how we interpret the physical world.
When the physical world is too distant, too small, or too violent to witness, we build it in code to see how it behaves.